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MLflow

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MLflow is an open source platform for managing the machine learning lifecycle with experiment tracking, a model registry, and deployment oriented APIs, plus an optional free managed hosting option, helping teams compare runs and govern models across training evaluation and release.

Experiment tracking, model registry, and metadata store that helps ML teams log, compare, and ship models with searchable runs and rich visualizations.